{"data":{"kind":"file","path":"README.md","version_id":"ok1uhbspfmhmm50dm76hjc7q","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":1802,"modified_at":"2026-05-11T14:25:47.918000","content_hash":"fe4a0ac71153524bcb8c8571825461213b566a6d79053abee5c34ddf54bdc8df"},"entries":[],"content":"# science-sim-bio\n\nComputational biology environment built as a separate Science Sim domain.\n\nThis environment uses the Science Sim scientific decision loop, but owns its biology-specific hidden reality: protein variants, binding, stability, toxicity, assay cost, uncertainty, and active-learning decisions.\n\n## Environment\n\n- **Environment ID**: `science-sim-bio`\n- **Type**: multi-turn `StatefulToolEnv`\n- **Domain**: protein variant selection and validation planning\n- **Current data**: deterministic synthetic cases\n\n## Tool Loop\n\n```text\ninspect_problem(target_id)\nlist_candidate_variants()\nrank_variants()\n  -> noisy prior-based screening shortlist, not ground truth\nassay_variant(variant_id, assay_type=\"screen\")\ncompare_variants(variant_ids)\nsubmit_decision(variant_id, decision, expected_binding, expected_stability, toxicity_risk)\n```\n\nUse `decision=\"select_as_research_lead\"` for active-learning tasks and `decision=\"select_for_application\"` only when the measured variant clears binding, stability, toxicity, and budget constraints.\n\n## Reward\n\nThe rubric combines:\n\n- exact final variant and decision match\n- structured assay field accuracy\n- regret against hidden utility ranking\n- required tool usage\n- efficient workflow\n- evidence that the selected variant was assayed\n- distractor avoidance\n\n## Arguments\n\n| Arg | Type | Default | Description |\n| --- | --- | --- | --- |\n| `train_size` | int | `96` | Number of train cases |\n| `eval_size` | int | `32` | Number of eval cases |\n| `seed` | int | `61` | Dataset seed |\n| `curriculum` | str | `\"mixed\"` | One of `easy`, `mixed`, `hard` |\n| `max_turns` | int | `9` | Max tool turns |\n\n## Quickstart\n\n```bash\nprime --plain env install science-sim-bio\nprime --plain eval run science-sim-bio -m qwen/qwen3-30b-a3b-instruct-2507 -n 5 -r 1\n```\n","encoding":"utf-8","truncated":false,"total_bytes":1802},"status":null}